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Try my prompt

Skill HorizonBrute/Standardized_AI_Looping_Language-SAILL/skills/try-my-prompt

Standardized AI Looping Language

Install
npx -y skills add HorizonBrute/Standardized_AI_Looping_Language-SAILL --skill try-my-prompt

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its author says it does

Copied from the file, not written here

Take a natural-language prompt and return two outputs — an agent_teams.md SAILL entry and a terse one-line invocation — by invoking /convert-prompt-to-saill and formatting the result.

SKILL.md

1.6 KB, as published. Nobody here has run it

Skill: /try-my-prompt

Model preference: #midcost

Given a natural-language prompt, invoke /convert-prompt-to-saill to do the conversion, then present the result in two clearly-labelled sections.


Steps

  1. Receive the user's prompt. If none was supplied, ask for it.

  2. Invoke /convert-prompt-to-saill <prompt>. Do NOT do the conversion yourself — hand off entirely to that skill.

  3. From the output of step 2, present two sections:


Section 1 — agent_teams.md entry

The ### TeamName + numbered roles block, exactly as it would appear in agent_teams.md. Render it in a fenced code block. This is the copy-paste-ready SAILL form.


Section 2 — One-Line Invocation

A single terse line showing how to invoke the team once it is defined. This is the post-implementation invocation — the payoff of naming the team.

Example shape:

"Send the Investigate & Fix team at -context-scope-."

Keep it to one line. Surface any -context- slots the caller must fill in.


Notes

  • This skill only orchestrates and formats. All SAILL logic lives in /convert-prompt-to-saill.
  • Section 1 is the definition; Section 2 is the invocation. Terseness is the point.
  • After presenting both sections, offer the same next steps that /convert-prompt-to-saill would: save (/agent-teams), run, or test (/test-agent-teams).

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